Example usage for weka.clusterers XMeans setMaxKMeansForChildren

Introduction

In this page you can find the example usage for weka.clusterers XMeans setMaxKMeansForChildren.

Prototype

public void setMaxKMeansForChildren(int i) 

Source Link

Document

Sets the maximum number of iterations KMeans that is performed on the child centers.

Usage

From source file:org.montp2.m1decol.ter.clustering.XMeansClustering.java

License:Open Source License

public Clusterer computeClustering(String inPath, String outPath, Properties propertiesCluster)
        throws Exception {
    Instances inputInstances = WekaUtils.loadARFF(inPath);

    EuclideanDistance euclideanDistance = new EuclideanDistance();
    euclideanDistance.setAttributeIndices("first-last");
    euclideanDistance.setDontNormalize(false);
    euclideanDistance.setInvertSelection(false);

    XMeans xmeans = new XMeans();
    xmeans.setMaxIterations(500);/*w w w.  j  a v  a  2  s. c om*/
    xmeans.setSeed(10);
    xmeans.setMinNumClusters(5);
    xmeans.setMaxNumClusters(12);
    xmeans.setMaxKMeans(1000);
    xmeans.setMaxKMeansForChildren(1000);
    xmeans.setBinValue(1.0);
    xmeans.setCutOffFactor(0.5);
    xmeans.setDebugLevel(0);
    xmeans.setMaxIterations(1);
    xmeans.buildClusterer(inputInstances);

    Enumeration<Instance> e = inputInstances.enumerateInstances();
    while (e.hasMoreElements()) {
        Instance ins = e.nextElement();
        int cluster_num = xmeans.clusterInstance(ins);
        System.out.println(ins.toString());
        System.out.println(cluster_num);
    }

    WekaUtils.saveModel(xmeans, outPath);

    return xmeans;
}

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